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Automatic Composition of Melodic and Harmonic Music by Answer Set Programming

2008; Springer Science+Business Media; Linguagem: Inglês

10.1007/978-3-540-89982-2_21

1611-3349

Georg Boenn, Martin Brain, Marina De Vos, John ffitch,

Topic Modeling

The composition of most styles of music is governed by rules. The natural statement of these rules is declarative ("The highest and lowest notes in a piece must be separated by a consonant interval") and non deterministic ("The base note of a key can be followed by any note in the key"). We show that by approaching the automation and analysis of composition as a knowledge representation task and formalising these rules in a suitable logical language, powerful and expressive intelligent composition tools can easily be built. This paper describes the use of answer set programming to construct an automated system that can compose both melodic and harmonic music, diagnose errors in human compositions and serve as a computer-aided composition tool. The use of a fully declarative language and an "off-the-shelf" reasoning engine allows the creation of tools which are significantly simpler, smaller and more flexible than those produced by existing approaches. It also combines harmonic and melodic composition in a single framework, which is a new feature in the growing area of algorithmic composition.